Data Integrity Quotes

This is the most important thing I will ever say to you. The human mind is the ultimate testing device. You can take all the notes you want on the technical data, anything you forget you can look up again, but this must be engraved on your hearts in letters of fire. There is nothing, nothing, nothing, more important to me in the men and women I train than their absolute personal integrity. Whether you function as welders or inspectors, the laws of physics are implacable lie detectors. You may fool men. You will never fool metal. That’s all.

Data observability systems improve customer loyalty. Its just true that transparency builds trust and trust is integral to healthy relationships of every kind.

Change is a more complicated process involving brain integration than is data gathering.

Reason functions by integrating perceptual data into concepts.

Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability.

The need for data integration often only becomes apparent if you zoom out and consider the dataflows across an entire organization.

Pseudoscience is almost always recognizable from a distance, and easy to confirm on close examination. Science is, however, not immune from hubris, and bad science can be tougher to spot. Those of us who make a living from science or science media must display scientific integrity. We must constantly test our assumptions and fight the siren song of consensus when our data tells us to be contrarian. We must remain independent of political or religious bias in evaluating our work. We must admit when we are wrong, and remain willing to evolve when verifiable data demands change. We must admit when we are uncertain, remain humble in advances, and offer courageous and independent advice grounded in science.

as architect of choosing... choose. to. live. awakened. entirely. wholly. wildly powerful,  deeply masterful,  authentically creative, thriving.  this is not a hoped-for possible self. [reminder: this is an immutable Law of your being] needing not to learn the skill of being whole,  the antidote is to unlearn the habit of living incompletely here’s the practice: ‘know thyself‘—its about spirit  righteousness is underrated elevate connection with the changeless essence seek similitude with the will of Source and will of self 'choose thyself'—its about substance sacred. sagacious. spacious. in thought, word and deed— intend to: honor virtue. innovate enthusiastically. master integrity. 'become who you are'—its about style  a human, being an entrepreneur of life experiences a human, being a purveyor of preferences being-well with the known experience of soul, in service your relationship with insecurities, contradictions, & failures? obstacles or...invitations to grow? [mindset forms manifestation] emotions are messengers are gifts data for discernment: dare to deconstruct them your fears a belief renovation: fear.less. & aspire towards ascendance, anyway support your shine lean into the Light be.come. incandescent as architect of choosing, I choose...  to disrupt the energy of the status quo, to eclipse the realms of ordinary, & to live--a life-well lived. w/ spirit, substance & style.

Until now, I've been writing about "now" as if it were literally an instant of time, but of course human faculties are not infinitely precise. It is simplistic to suppose that physical events and mental events march along exactly in step, with the stream of "actual moments" in the outside world and the stream of conscious awareness of them perfectly synchronized. The cinema industry depends on the phenomenon that what seems to us a movie is really a succession of still pictures, running at twenty-five [sic] frames per second. We don't notice the joins. Evidently the "now" of our conscious awareness stretches over at least 1/25 of a second. In fact, psychologists are convinced it can last a lot longer than that. Take he familiar "tick-tock" of the clock. Well, the clock doesn't go "tick-tock" at all; it goes "tick-tick," every tick producing the same sound. It's just that our consciousness runs two successive ticks into a singe "tick-tock" experience—but only if the duration between ticks is less than about three seconds. A really bug pendulum clock just goes "tock . . . tock . . . tock," whereas a bedside clock chatters away: "ticktockticktock..." Two to three seconds seems to be the duration over which our minds integrate sense data into a unitary experience, a fact reflected in the structure of human music and poetry.

Prior to Y.P.W.c.’s Freedom of Speculation Act, credible sociohistorical data on the origins and evolution of Les Assassins des Fauteuils Rollents from obscure, adolescent, nihilistic Root Cult to one of the most feared cells in the annals of Canadian extremism was regrettably patchy and dependent on the hearsay of sources whose scholarly veracity was of an integrity somewhat less than unimpeachable.

One of the main cyber-risks is to think they don’t exist. The other is to try to treat all potential risks. Fix the basics, protect first what matters for your business and be ready to react properly to pertinent threats. Think data, but also business services integrity, awareness, customer experience, compliance, and reputation.

An integrated automation factory should ensure cost savings, stabilisation and reduced turnaround times across all services.

To supply data is not enough. The data have to be integrated with strategy, they have to test a company’s assumptions, and they must challenge a company’s current outlook. One

The tech companies are destroying something precious, which is the possibility of contemplation. They have created a world in which we’re constantly watched and always distracted. Through their accumulation of data, they have constructed a portrait of our minds, which they use to invisibly guide mass behavior (and increasingly individual behavior) to further their financial interests. They have eroded the integrity of institutions—media, publishing—that supply the intellectual material that provokes thought and guides democracy. Their most precious asset is our most precious asset, our attention, and they have abused it.

By the 1960s, the electronic computer had become an integral tool of science, technology, and business. Without its capacities for memorizing, calculating, comparing, and displaying astronomical amounts of data, the lunar landing program would have been impossible.

Every computing device today has five basic components: (1) the integrated circuits that do the computing; (2) the memory units that store and retrieve information; (3) the networking systems that enable communications within and across computers; (4) the software applications that enable different computers to perform myriad tasks individually and collectively; and (5) the sensors—cameras and other miniature devices that can detect movement, language, light, heat, moisture, and sound and transform any of them into digitized data that can be mined for insights.

In the same way, hybrid models of blended learning are not noticeably simpler for teachers than the existing system. On the contrary, in many cases they appear to require all the expertise of the traditional model plus new expertise in managing digital devices and in integrating data across all the supplemental online experiences in the teacher-directed rotation.

The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind you to take the right medication on time.

Every change that is made to an application’s configuration, source code, environment, or data, triggers the creation of a new instance of the pipeline. One of the first steps in the pipeline is to create binaries and installers. The rest of the pipeline runs a series of tests on the binaries to prove that they can be released. Each test that the release candidate passes gives us more confidence that this particular combination of binary code, configuration information, environment, and data will work. If the release candidate passes all the tests, it can be released. The deployment pipeline has its foundations in the process of continuous integration and is in essence the principle of continuous integration taken to its logical conclusion. The aim of the deployment pipeline is threefold. First, it makes every part of the process of building, deploying, testing, and releasing software visible to everybody involved, aiding collaboration. Second, it improves feedback so that problems are identified, and so resolved, as early in the process as possible. Finally, it enables teams to deploy and release any version of their software to any environment at will through a fully automated process.

That rarely happens in the other mental modes. In preacher mode, changing our minds is a mark of moral weakness; in scientist mode, it’s a sign of intellectual integrity. In prosecutor mode, allowing ourselves to be persuaded is admitting defeat; in scientist mode, it’s a step toward the truth. In politician mode, we flip-flop in response to carrots and sticks; in scientist mode, we shift in the face of sharper logic and stronger data.

There are more politics in modern medicine than in modern politics itself. Today's average physician deserves even less trust than today's average politician, as doctors continue their refusal to allow the scientific data on the profound benefits of vitamins and other antioxidant supplements to reach their eyes and brains. And the staunch support of a press, which collectively no longer has a shred of journalistic or scientific integrity, completes the framing of today's colossal medical fraud. Money always rules the day: properly-dosed vitamins would eliminate far too much of the profit of prescription-based medicine.

New high-tech tools allow for more precise measuring and tracking, better sharing of information, and increased visibility of targeted populations. In a system dedicated to supporting poor and working-class people's self-determination, such diligence would guarantee that they attain all the benefits they are entitled to by law. In that context, integrated data and modernized administration would not necessarily result in bad outcomes for poor communities. But automated decision-making in our current welfare system acts a lot like older, atavistic forms of punishment and containment. It filters and diverts. It is a gatekeeper, not a facilitator.

An important attribute of metabolites is their close relationship to both the biological states of interest (i.e. disease status) and relevant genomic, transcriptomic, and proteomic variants causally related to the disease state. As such, metabo-profiles can be viewed as an intermediate measure that links pre-disposing genes and environmental exposures to a resulting disease state. Causal metabolites also typically have a stronger relationship (i.e. larger effect size) to the underlying genetics and the disease phenotype. Thus, the integration of metabolomic data into systems biology approaches may provide a missing link between genes and disease states.

In a remarkable letter to the director of the Vatican Observatory, John Paul II wrote: The church does not propose that science should become religion or religion science. On the contrary, unity always presupposes the diversity and integrity of its elements. Each of these members should become not less itself but more itself in a dynamic interchange, for a unity in which one of the elements is reduced to the other is destructive, false in its promises of harmony, and ruinous of the integrity of its components. We are asked to become one. We are not asked to become each other. . . . Unity involves the drive of the human mind towards understanding and the desire of the human spirit for love. When human beings seek to understand the multiplicities that surround them, when they seek to make sense of experience, they do so by bringing many factors into a common vision. Understanding is achieved when many data are unified by a common structure. The one illuminates the many: it makes sense of the whole. . . . We move towards unity as we move towards meaning in our lives. Unity is also the consequence of love. If love is genuine, it moves not towards the assimilation of the other but towards union with the other. Human community begins in desire when that union has not been achieved, and it is completed in joy when those who have been apart are now united.10

Google had a built-in disadvantage in the social networking sweepstakes. It was happy to gather information about the intricate web of personal and professional connections known as the “social graph” (a term favored by Facebook’s Mark Zuckerberg) and integrate that data as signals in its search engine. But the basic premise of social networking—that a personal recommendation from a friend was more valuable than all of human wisdom, as represented by Google Search—was viewed with horror at Google. Page and Brin had started Google on the premise that the algorithm would provide the only answer. Yet there was evidence to the contrary. One day a Googler, Joe Kraus, was looking for an anniversary gift for his wife. He typed “Sixth Wedding Anniversary Gift Ideas” into Google, but beyond learning that the traditional gift involved either candy or iron, he didn’t see anything creative or inspired. So he decided to change his status message on Google Talk, a line of text seen by his contacts who used Gmail, to “Need ideas for sixth anniversary gift—candy ideas anyone?” Within a few hours, he got several amazing suggestions, including one from a colleague in Europe who pointed him to an artist and baker whose medium was cake and candy. (It turned out that Marissa Mayer was an investor in the company.) It was a sobering revelation for Kraus that sometimes your friends could trump algorithmic search.

Oath of Non-Harm for an Age of Big Data I swear to fulfill, to the best of my ability, the following covenant: I will respect all people for their integrity and wisdom, understanding that they are experts in their own lives, and will gladly share with them all the benefits of my knowledge. I will use my skills and resources to create bridges for human potential, not barriers. I will create tools that remove obstacles between resources and the people who need them. I will not use my technical knowledge to compound the disadvantage created by historic patterns of racism, classism, able-ism, sexism, homophobia, xenophobia, transphobia, religious intolerance, and other forms of oppression. I will design with history in mind. To ignore a four-century-long pattern of punishing the poor is to be complicit in the “unintended” but terribly predictable consequences that arise when equity and good intentions are assumed as initial conditions. I will integrate systems for the needs of people, not data. I will choose system integration as a mechanism to attain human needs, not to facilitate ubiquitous surveillance. I will not collect data for data’s sake, nor keep it just because I can. When informed consent and design convenience come into conflict, informed consent will always prevail. I will design no data-based system that overturns an established legal right of the poor. I will remember that the technologies I design are not aimed at data points, probabilities, or patterns, but at human beings.

I think people use fuzzy verbs when they are afraid that if they make strong statements, someone may challenge them or they may be wrong. If people feel challenged, you have engaged their interest, and that is good. Challenging proposals sometimes get funded; boring ones never do. Also remember, you are a scientist — it is not your job to be right. It is your job to be thoughtful, careful, and analytical; it is your job to challenge your ideas and to try to falsify your hypotheses; it is your job to be open and honest about the uncertainties in your data and conclusions. But if you are doing cutting-edge work, you are not always going to be right. You may have some aspects of the system right but others wrong; your piece of the system may be counterbalanced by others; you may even have misinterpreted your data. As long as you did it with honesty, integrity, and intellect, you did right, even if you weren’t right.

Message traffic indicated that IUSS (Integrated Undersea Surveillance System) had sniffs of a number of the newest operational class of Russian SSNs, the Akula II, heading south from the Sea of Okhotsk area toward the South China Sea—and the numbers did not match naval intelligence’s initial expectations. Satellite imagery of Vladivostok showed three submarines missing, and data from Petropavlosk added another missing sub, for a total of four, but IUSS was picking up seven different Akula class SSNs. New data, however, showed three more missing from the Russian base in the Kola Peninsula. Naval intelligence had been concentrating on the Pacific theater and had missed the departure of the North Fleet Akula II SSNs the week before. These Akulas had completed an under-ice transfer through the Bering Straits before they were detected in the Bering Sea, and had rendezvoused with the PACFLT Akulas east of the Kurile Islands.

I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues? As I write, Congress is dissolving its own Office of Technology Assessment—the only organization specifically tasked to provide advice to the House and Senate on science and technology. Its competence and integrity over the years have been exemplary. Of the 535 members of the U.S. Congress, rarely in the twentieth century have as many as one percent had any significant background in science. The last scientifically literate President may have been Thomas Jefferson.* So how do Americans decide these matters? How do they instruct their representatives? Who in fact makes these decisions, and on what basis? —

Saint John Paul II wrote, “when its concepts and conclusions can be integrated into the wider human culture and its concerns for ultimate meaning and value.”7 Religion, too, develops best when its doctrines are not abstract and fixed in an ancient past but integrated into the wider stream of life. Albert Einstein once said that “science without religion is lame and religion without science is blind.”8 So too, John Paul II wrote: “Science can purify religion from error and superstition; religion can purify science from idolatry and false absolutes. Each can draw the other into a wider world, a world in which both can flourish.”9 Teilhard de Chardin saw that dialogue alone between the disciplines is insufficient; what we need is a new synthesis of science and religion, drawing insights from each discipline into a new unity. In a remarkable letter to the director of the Vatican Observatory, John Paul II wrote: The church does not propose that science should become religion or religion science. On the contrary, unity always presupposes the diversity and integrity of its elements. Each of these members should become not less itself but more itself in a dynamic interchange, for a unity in which one of the elements is reduced to the other is destructive, false in its promises of harmony, and ruinous of the integrity of its components. We are asked to become one. We are not asked to become each other. . . . Unity involves the drive of the human mind towards understanding and the desire of the human spirit for love. When human beings seek to understand the multiplicities that surround them, when they seek to make sense of experience, they do so by bringing many factors into a common vision. Understanding is achieved when many data are unified by a common structure. The one illuminates the many: it makes sense of the whole. . . . We move towards unity as we move towards meaning in our lives. Unity is also the consequence of love. If love is genuine, it moves not towards the assimilation of the other but towards union with the other. Human community begins in desire when that union has not been achieved, and it is completed in joy when those who have been apart are now united.10 The words of the late pope highlight the core of catholicity: consciousness of belonging to a whole and unity as a consequence of love.

Wild animals enjoying one another and taking pleasure in their world is so immediate and so real, yet this reality is utterly absent from textbooks and academic papers about animals and ecology. There is a truth revealed here, absurd in its simplicity. This insight is not that science is wrong or bad. On the contrary: science, done well, deepens our intimacy with the world. But there is a danger in an exclusively scientific way of thinking. The forest is turned into a diagram; animals become mere mechanisms; nature's workings become clever graphs. Today's conviviality of squirrels seems a refutation of such narrowness. Nature is not a machine. These animals feel. They are alive; they are our cousins, with the shared experience kinship implies. And they appear to enjoy the sun, a phenomenon that occurs nowhere in the curriculum of modern biology. Sadly, modern science is too often unable or unwilling to visualize or feel what others experience. Certainly science's "objective" gambit can be helpful in understanding parts of nature and in freeing us from some cultural preconceptions. Our modern scientific taste for dispassion when analyzing animal behaviour formed in reaction to the Victorian naturalists and their predecessors who saw all nature as an allegory confirming their cultural values. But a gambit is just an opening move, not a coherent vision of the whole game. Science's objectivity sheds some assumptions but takes on others that, dressed up in academic rigor, can produce hubris and callousness about the world. The danger comes when we confuse the limited scope of our scientific methods with the true scope of the world. It may be useful or expedient to describe nature as a flow diagram or an animal as a machine, but such utility should not be confused with a confirmation that our limited assumptions reflect the shape of the world. Not coincidentally, the hubris of narrowly applied science serves the needs of the industrial economy. Machines are bought, sold, and discarded; joyful cousins are not. Two days ago, on Christmas Eve, the U.S. Forest Service opened to commercial logging three hundred thousand acres of old growth in the Tongass National Forest, more than a billion square-meter mandalas. Arrows moved on a flowchart, graphs of quantified timber shifted. Modern forest science integrated seamlessly with global commodity markets—language and values needed no translation. Scientific models and metaphors of machines are helpful but limited. They cannot tell us all that we need to know. What lies beyond the theories we impose on nature? This year I have tried to put down scientific tools and to listen: to come to nature without a hypothesis, without a scheme for data extraction, without a lesson plan to convey answers to students, without machines or probes. I have glimpsed how rich science is but simultaneously how limited in scope and in spirit. It is unfortunate that the practice of listening generally has no place in the formal training of scientists. In this absence science needlessly fails. We are poorer for this, and possibly more hurtful. What Christmas Eve gifts might a listening culture give its forests? What was the insight that brushed past me as the squirrels basked? It was not to turn away from science. My experience of animals is richer for knowing their stories, and science is a powerful way to deepen this understanding. Rather, I realized that all stories are partly wrapped in fiction—the fiction of simplifying assumptions, of cultural myopia and of storytellers' pride. I learned to revel in the stories but not to mistake them for the bright, ineffable nature of the world.

Due to the various pragmatic obstacles, it is rare for a mission-critical analysis to be done in the “fully Bayesian” manner, i.e., without the use of tried-and-true frequentist tools at the various stages. Philosophy and beauty aside, the reliability and efficiency of the underlying computations required by the Bayesian framework are the main practical issues. A central technical issue at the heart of this is that it is much easier to do optimization (reliably and efficiently) in high dimensions than it is to do integration in high dimensions. Thus the workhorse machine learning methods, while there are ongoing efforts to adapt them to Bayesian framework, are almost all rooted in frequentist methods. A work-around is to perform MAP inference, which is optimization based. Most users of Bayesian estimation methods, in practice, are likely to use a mix of Bayesian and frequentist tools. The reverse is also true—frequentist data analysts, even if they stay formally within the frequentist framework, are often influenced by “Bayesian thinking,” referring to “priors” and “posteriors.” The most advisable position is probably to know both paradigms well, in order to make informed judgments about which tools to apply in which situations.

The motor activities we take for granted—getting out of a chair and walking across a room, picking up a cup and drinking coffee,and so on—require integration of all the muscles and sensory organs working smoothly together to produce coordinated movements that we don't even have to think about. No one has ever explained how the simple code of impulses can do all that. Even more troublesome are the higher processes, such as sight—in which somehow we interpret a constantly changing scene made of innumerable bits of visual data—or the speech patterns, symbol recognition, and grammar of our languages.Heading the list of riddles is the "mind-brain problem" of consciousness, with its recognition, "I am real; I think; I am something special." Then there are abstract thought, memory, personality,creativity, and dreams. The story goes that Otto Loewi had wrestled with the problem of the synapse for a long time without result, when one night he had a dream in which the entire frog-heart experiment was revealed to him. When he awoke, he knew he'd had the dream, but he'd forgotten the details. The next night he had the same dream. This time he remembered the procedure, went to his lab in the morning, did the experiment, and solved the problem. The inspiration that seemed to banish neural electricity forever can't be explained by the theory it supported! How do you convert simple digital messages into these complex phenomena? Latter-day mechanists have simply postulated brain circuitry so intricate that we will probably never figure it out, but some scientists have said there must be other factors.

I sought to accomplish whatever was to be accomplished for anyone in such a manner that the advantage attained for anyone would never be served at the cost of another or others.” This speaks to the integrity of Bucky’s intentions and his desire to put principle before self-gain. “I sought to cope with all humanly unfavorable conditions, customs and afflictions by searching for the family of relevant physical principles involved, and therewith through invention and technological development to solve all problems by physical data and devices that were so much more effective as to be spontaneously adopted by humans and thereby to result in producing more desirable life-styles and thus emancipate humans from the previously unfavorable circumstances. I must always ‘reduce’ my inventions to physically working models and must never talk about the inventions until physically proven— or disproven. The new favorable-to-humans environment constituted by the technological inventions and information must demonstrate that new inanimate technology could now accomplish what heretofore could not be accomplished by social reforms. I sought to reform the environment, not the humans. I determined never to try to persuade humanity to alter its customs and viewpoints.” In this declaration, we find Bucky’s thought that one way to help and change people for the better is not to try to change their thinking, but to change their environment for the better. The change will do the work of allowing others to find their own betterment of thought. He was suggesting that social reform does not always help people because their physical environment is so unimproved.

Moore’s Law, the rule of thumb in the technology industry, tells us that processor chips—the small circuit boards that form the backbone of every computing device—double in speed every eighteen months. That means a computer in 2025 will be sixty-four times faster than it is in 2013. Another predictive law, this one of photonics (regarding the transmission of information), tells us that the amount of data coming out of fiber-optic cables, the fastest form of connectivity, doubles roughly every nine months. Even if these laws have natural limits, the promise of exponential growth unleashes possibilities in graphics and virtual reality that will make the online experience as real as real life, or perhaps even better. Imagine having the holodeck from the world of Star Trek, which was a fully immersive virtual-reality environment for those aboard a ship, but this one is able to both project a beach landscape and re-create a famous Elvis Presley performance in front of your eyes. Indeed, the next moments in our technological evolution promise to turn a host of popular science-fiction concepts into science facts: driverless cars, thought-controlled robotic motion, artificial intelligence (AI) and fully integrated augmented reality, which promises a visual overlay of digital information onto our physical environment. Such developments will join with and enhance elements of our natural world. This is our future, and these remarkable things are already beginning to take shape. That is what makes working in the technology industry so exciting today. It’s not just because we have a chance to invent and build amazing new devices or because of the scale of technological and intellectual challenges we will try to conquer; it’s because of what these developments will mean for the world.

What in the world is going on, what is going on? I mean what does it mean to be incarnate in a human body, in a squirrely culture like this, trying to make sense of your heritage, your opportunities the contents of the culture, the contents of your own mind? Is it possible to have an overarching viewpoint that is not somehow canned or cultish or self-limited in its approach, in other words, is it possible to cultivate an open mind and sanity in the kind of society and psychological environment that we all share? And it grows daily and weekly, as you know, harder to do this, weirder to integrate more on your plate, to assimilate and I certainly don’t have final or even merely final answers. I think it all lies in posing the questions in a certain way, in feeling the data in a certain way. And one of the things I try to convince people is it’s not necessary to achieve closure with this stuff. And in fact any ideological or belief system that offers closure, meaning final answers, is sure to be wrong, sure to be self-limiting, sure to be inadequate to the facts. So one of the ideas I’d like to put out is the idea that ideology is not our friend, it is not a matter of choosing from the smartest board of ideologies and rejecting the flawed, the self-contradictory and this over simple, in favor of the un-flawed, the complex enough. Where is it written in adamantine that semi-carnivorous monkeys can or should be capable of understanding reality? That seems to be one of the first delusions, and one of the more prideful illusions of human culture, that a final understanding is possible in the first place. Better, I think, to try and frame questions which can endure, and leave off searching for answers, because answers are like operating systems, they’re being upgraded faster than you can keep up with it.

..."facts" properly speaking are always and never more than interpretations of the data... the Gospel accounts are themselves such data or, if you like, hard facts. But the events to which the Gospels refer are not themselves "hard facts"; they are facts only in the sense that we interpret the text, together with such other data as we have, to reach a conclusion regarding the events as best we are able. They are facts in the same way that the verdict of a jury establishes the facts of the case, the interpretation of the evidence that results in the verdict delivered. Here it is as well to remember that historical methodology can only produce probabilities, the probability that some event took place in such circumstances being greater or smaller, depending on the quality of the data and the perspective of the historical enquirer. The jury which decides what is beyond reasonable doubt is determining that the probability is sufficiently high for a clear-cut verdict to be delivered. Those who like "certainty" in matters of faith will always find this uncomfortable. But faith is not knowledge of "hard facts"...; it is rather confidence, assurance, trust in the reliability of the data and in the integrity of the interpretations derived from that data... It does seem important to me that those who speak for evangelical Christians grasp this nettle firmly, even if it stings! – it is important for the intellectual integrity of evangelicals. Of course any Christian (and particularly evangelical Christians) will want to get as close as possible to the Jesus who ministered in Galilee in the late 20s of the first century. If, as they believe, God spoke in and through that man, more definitively and finally than at any other time and by any other medium, then of course Christians will want to hear as clearly as possible what he said, and to see as clearly as possible what he did, to come as close as possible to being an eyewitness and earwitness for themselves. If God revealed himself most definitively in the historical particularity of a Galilean Jew in the earliest decades of the Common Era, then naturally those who believe this will want to inquire as closely into the historical particularity and actuality of that life and of Jesus’ mission. The possibility that later faith has in some degree covered over that historical actuality cannot be dismissed as out of the question. So a genuinely critical historical inquiry is necessary if we are to get as close to the historical actuality as possible. Critical here, and this is the point, should not be taken to mean negatively critical, hermeneutical suspicion, dismissal of any material that has overtones of Easter faith. It means, more straightforwardly, a careful scrutiny of all the relevant data to gain as accurate or as historically responsible a picture as possible. In a day when evangelical, and even Christian, is often identified with a strongly right-wing, conservative and even fundamentalist attitude to the Bible, it is important that responsible evangelical scholars defend and advocate such critical historical inquiry and that their work display its positive outcome and benefits. These include believers growing in maturity • to recognize gray areas and questions to which no clear-cut answer can be given (‘we see in a mirror dimly/a poor reflection’), • to discern what really matters and distinguish them from issues that matter little, • and be able to engage in genuine dialogue with those who share or respect a faith inquiring after truth and seeking deeper understanding. In that way we may hope that evangelical (not to mention Christian) can again become a label that men and women of integrity and good will can respect and hope to learn from more than most seem to do today.

This is not a hypothetical example. In the middle of the nineteenth century Karl Marx reached brilliant economic insights. Based on these insights he predicted an increasingly violent conflict between the proletariat and the capitalists, ending with the inevitable victory of the former and the collapse of the capitalist system. Marx was certain that the revolution would start in countries that spearheaded the Industrial Revolution – such as Britain, France and the USA – and spread to the rest of the world. Marx forgot that capitalists know how to read. At first only a handful of disciples took Marx seriously and read his writings. But as these socialist firebrands gained adherents and power, the capitalists became alarmed. They too perused Das Kapital, adopting many of the tools and insights of Marxist analysis. In the twentieth century everybody from street urchins to presidents embraced a Marxist approach to economics and history. Even diehard capitalists who vehemently resisted the Marxist prognosis still made use of the Marxist diagnosis. When the CIA analysed the situation in Vietnam or Chile in the 1960s, it divided society into classes. When Nixon or Thatcher looked at the globe, they asked themselves who controls the vital means of production. From 1989 to 1991 George Bush oversaw the demise of the Evil Empire of communism, only to be defeated in the 1992 elections by Bill Clinton. Clinton’s winning campaign strategy was summarised in the motto: ‘It’s the economy, stupid.’ Marx could not have said it better. As people adopted the Marxist diagnosis, they changed their behaviour accordingly. Capitalists in countries such as Britain and France strove to better the lot of the workers, strengthen their national consciousness and integrate them into the political system. Consequently when workers began voting in elections and Labour gained power in one country after another, the capitalists could still sleep soundly in their beds. As a result, Marx’s predictions came to naught. Communist revolutions never engulfed the leading industrial powers such as Britain, France and the USA, and the dictatorship of the proletariat was consigned to the dustbin of history. This is the paradox of historical knowledge. Knowledge that does not change behaviour is useless. But knowledge that changes behaviour quickly loses its relevance. The more data we have and the better we understand history, the faster history alters its course, and the faster our knowledge becomes outdated.

A different approach was taken in 1972 by Dr. Walter Mischel, also of Stanford, who analyzed yet another characteristic among children: the ability to delay gratification. He pioneered the use of the “marshmallow test,” that is, would children prefer one marshmallow now, or the prospect of two marsh-mallows twenty minutes later? Six hundred children, aged four to six, participated in this experiment. When Mischel revisited the participants in 1988, he found that those who could delay gratification were more competent than those who could not. In 1990, another study showed a direct correlation between those who could delay gratification and SAT scores. And a study done in 2011 indicated that this characteristic continued throughout a person’s life. The results of these and other studies were eye-opening. The children who exhibited delayed gratification scored higher on almost every measure of success in life: higher-paying jobs, lower rates of drug addiction, higher test scores, higher educational attainment, better social integration, etc. But what was most intriguing was that brain scans of these individuals revealed a definite pattern. They showed a distinct difference in the way the prefrontal cortex interacted with the ventral striatum, a region involved in addiction. (This is not surprising, since the ventral striatum contains the nucleus accumbens, known as the “pleasure center.” So there seems to be a struggle here between the pleasure-seeking part of the brain and the rational part to control temptation, as we saw in Chapter 2.) This difference was no fluke. The result has been tested by many independent groups over the years, with nearly identical results. Other studies have also verified the difference in the frontal-striatal circuitry of the brain, which appears to govern delayed gratification. It seems that the one characteristic most closely correlated with success in life, which has persisted over the decades, is the ability to delay gratification. Although this is a gross simplification, what these brain scans show is that the connection between the prefrontal and parietal lobes seems to be important for mathematical and abstract thought, while the connection between the prefrontal and limbic system (involving the conscious control of our emotions and pleasure center) seems to be essential for success in life. Dr. Richard Davidson, a neuroscientist at the University of Wisconsin–Madison, concludes, “Your grades in school, your scores on the SAT, mean less for life success than your capacity to co-operate, your ability to regulate your emotions, your capacity to delay your gratification, and your capacity to focus your attention. Those skills are far more important—all the data indicate—for life success than your IQ or your grades.

Our focus, however, should not be on the differences among our sectors, but rather on supporting and promoting the entire innovation economy — from tech to bio to clean energy to health care and beyond. In fact, in its recent Impact 2020 report, the Massachusetts Biotechnology Council highlighted the interrelationship of these vital sectors working together, combining cutting-edge biomedical research with new information technology tools for capturing and integrating data, conducting sophisticated analytics, and enhancing personal connectivity. Massachusetts is a national and world leader in the growing field of life science information technology.

Kiip’s move comes at a time when more and more data on people’s actions is becoming available as wearable devices, Internet-connected home automation equipment, and cars with integrated data connections head to market. Those new data streams could form the basis for many new services and products, but they also bring new privacy concerns. Ads tailored to driving behavior will be possible thanks to a partnership between Kiip and fellow startup Mojio. It expects to launch a $149 device this summer that plugs into a car’s diagnostic port and streams vehicle data to a smartphone app to help users track their driving, their fuel economy, and their vehicle’s maintenance status. Kiip will use data from that device to target promotions inside the Mojio app.

their interpretation of the data, to the tendency to "suspend our disbelief" in order to have a more immersive play experience. Kurt Squire found similar patterns when he sought to integrate the commercial game Civilization III into

Integration via Conformed Dimensions One of the marquee successes of the dimensional modeling approach has been to define a simple but powerful recipe for integrating data from different business processes.

Data integration and access software are frequently cited as the greatest and most expensive challenge that organisations face (Bernstein & Haas, 2008)

Integration databases—don’t do it! Seriously! Not even with views. Not even with stored procedures. Take it up a level, and wrap a web service around the database. Then make the web service redundant and accessed through a virtual IP. Build a test harness to verify what happens when the web service is down. That’s an enterprise integration technology. Reaching into another system’s database is just…icky. Nothing hobbles a system’s ability to adapt quite like having other systems poking into its guts. Database “integrations” are pure evil. They violate encapsulation and information hiding by exposing the most intimate details about a system’s inner workings. They encourage inappropriate coupling at both the structural and semantic levels. Even worse, the system that hangs its database out for the world cannot trust the data in the database at all. Rows can be added or modified by other entities even while the owner has objects in memory mapped from those rows. Vital application logic can be bypassed, resulting in illegal or unreachable states.[119]

Tracked Vehicles "Each war proves anew to those who may have had their doubts, the primacy of the main battle tank. Between wars, the tank is always a target for cuts. But in wartime, everyone remembers why we need it, in its most advanced, upgraded versions and in militarily significant numbers." - IDF Brigadier General Yahuda Admon (retired) Since their first appearance in the latter part of World War I, tanks have increasingly dominated military thinking. Armies became progressively more mechanised during World War II, with many infantry being carried in armoured carriers by the end of the war. The armoured personnel carrier (APC) evolved into the infantry fighting vehicle (IFV), which is able to support the infantry as well as simply transport them. Modern IFVs have a similar level of battlefield mobility to the tanks, allowing tanks and infantry to operate together and provide mutual support. Abrams Mission Provide heavy armour superiority on the battlefield. Entered Army Service 1980 Description and Specifications The Abrams tank closes with and destroys enemy forces on the integrated battlefield using mobility, firepower, and shock effect. There are three variants in service: M1A1, M1A2 and M1A2 SEP. The 120mm main gun, combined with the powerful 1,500 HP turbine engine and special armour, make the Abrams tank particularly suitable for attacking or defending against large concentrations of heavy armour forces on a highly lethal battlefield. Features of the M1A1 modernisation program include increased armour protection; suspension improvements; and an improved nuclear, biological and chemical (NBC) protection system that increases survivability in a contaminated environment. The M1A1D modification consists of an M1A1 with integrated computer and a far-target-designation capability. The M1A2 modernisation program includes a commander's independent thermal viewer, an improved commander's weapon station, position navigation equipment, a distributed data and power architecture, an embedded diagnostic system and improved fire control systems.

M113 Family of Vehicles Mission Provide a highly mobile, survivable, and reliable tracked-vehicle platform that is able to keep pace with Abrams- and Bradley-equipped units and that is adaptable to a wide range of current and future battlefield tasks through the integration of specialised mission modules at minimum operational and support cost. Entered Army Service 1960 Description and Specifications After more than four decades, the M113 family of vehicles (FOV) is still in service in the U.S. Army (and in many foreign armies). The original M113 Armoured Personnel Carrier (APC) helped to revolutionise mobile military operations. These vehicles carried 11 soldiers plus a driver and track commander under armour protection across hostile battlefield environments. More importantly, these vehicles were air transportable, air-droppable, and swimmable, allowing planners to incorporate APCs in a much wider range of combat situations, including many "rapid deployment" scenarios. The M113s were so successful that they were quickly identified as the foundation for a family of vehicles. Early derivatives included both command post (M577) and mortar carrier (M106) configurations. Over the years, the M113 FOV has undergone numerous upgrades. In 1964, the M113A1 package replaced the original gasoline engine with a 212 horsepower diesel package, significantly improving survivability by eliminating the possibility of catastrophic loss from fuel tank explosions. Several new derivatives were produced, some based on the armoured M113 chassis (e.g., the M125A1 mortar carrier and M741 "Vulcan" air defence vehicle) and some based on the unarmoured version of the chassis (e.g., the M548 cargo carrier, M667 "Lance" missile carrier, and M730 "Chaparral" missile carrier). In 1979, the A2 package of suspension and cooling enhancements was introduced. Today's M113 fleet includes a mix of these A2 variants, together with other derivatives equipped with the most recent A3 RISE (Reliability Improvements for Selected Equipment) package. The standard RISE package includes an upgraded propulsion system (turbocharged engine and new transmission), greatly improved driver controls (new power brakes and conventional steering controls), external fuel tanks, and 200-amp alternator with four batteries. Additional A3 improvements include incorporation of spall liners and provisions for mounting external armour. The future M113A3 fleet will include a number of vehicles that will have high speed digital networks and data transfer systems. The M113A3 digitisation program includes applying hardware, software, and installation kits and hosting them in the M113 FOV. Current variants: Mechanised Smoke Obscurant System M548A1/A3 Cargo Carrier M577A2/A3 Command Post Carrier M901A1 Improved TOW Vehicle M981 Fire Support Team Vehicle M1059/A3 Smoke Generator Carrier M1064/A3 Mortar Carrier M1068/A3 Standard Integrated Command Post System Carrier OPFOR Surrogate Vehicle (OSV) Manufacturer Anniston Army Depot (Anniston, AL) United Defense, L.P. (Anniston, AL)

scripting language is a programming language that provides you with the ability to write scripts that are evaluated (or interpreted) by a runtime environment called a script engine (or an interpreter). A script is a sequence of characters that is written using the syntax of a scripting language and used as the source for a program executed by an interpreter. The interpreter parses the scripts, produces intermediate code, which is an internal representation of the program, and executes the intermediate code. The interpreter stores the variables used in a script in data structures called symbol tables. Typically, unlike in a compiled programming language, the source code (called a script) in a scripting language is not compiled but is interpreted at runtime. However, scripts written in some scripting languages may be compiled into Java bytecode that can be run by the JVM. Java 6 added scripting support to the Java platform that lets a Java application execute scripts written in scripting languages such as Rhino JavaScript, Groovy, Jython, JRuby, Nashorn JavaScript, and so on. Two-way communication is supported. It also lets scripts access Java objects created by the host application. The Java runtime and a scripting language runtime can communicate and make use of each other’s features. Support for scripting languages in Java comes through the Java Scripting API. All classes and interfaces in the Java Scripting API are in the javax.script package. Using a scripting language in a Java application provides several advantages: Most scripting languages are dynamically typed, which makes it simpler to write programs. They provide a quicker way to develop and test small applications. Customization by end users is possible. A scripting language may provide domain-specific features that are not available in Java. Scripting languages have some disadvantages as well. For example, dynamic typing is good to write simpler code; however, it turns into a disadvantage when a type is interpreted incorrectly and you have to spend a lot of time debugging it. Scripting support in Java lets you take advantage of both worlds: it allows you to use the Java programming language for developing statically typed, scalable, and high-performance parts of the application and use a scripting language that fits the domain-specific needs for other parts. I will use the term script engine frequently in this book. A script engine is a software component that executes programs written in a particular scripting language. Typically, but not necessarily, a script engine is an implementation of an interpreter for a scripting language. Interpreters for several scripting languages have been implemented in Java. They expose programming interfaces so a Java program may interact with them.

Encapsulation is almost always a good thing to do, but sometimes information can be hidden in the wrong place. This makes the code difficult to understand, to integrate, or to build behavior from by composing objects. The best defense is to be clear about the difference between the two concepts when discussing a design. For example, we might say: • “Encapsulate the data structure for the cache in the CachingAuctionLoader class.” • “Encapsulate the name of the application’s log file in the PricingPolicy class.” These sound reasonable until we recast them in terms of information hiding: • “Hide the data structure used for the cache in the CachingAuctionLoader class.” • “Hide the name of the application’s log file in the PricingPolicy class.” Context independence tells us that we have no business hiding details of the log file in the PricingPolicy class—they’re concepts from different levels in the “Russian doll” structure of nested domains. If the log file name is necessary, it should be packaged up and passed in from a level that understands external configuration.

Staff will need to receive adequate training from IT staff on ways to effectively use databases. Beyond the ability to navigate a database system, staff will need additional skills such as developing queries or using spreadsheets to analyze and present data. In other words, rather than simply concentrating on the business functions that technology supports, student affairs staff should integrate assessment functions into their understanding of technology tools.

The integrity of any theory, Kuhn argued, lies in its falsifiability - that is, its openness to the possibility of repudiation in the light of more evidence, fresh insights or a more creative interpretation of data whose significance was not previously understood.

The logo for this growing professional community [Christian psychotherapy] was the word integration. Through articles and books the integrationist agenda was hammered out. Psychology and theology would mutually stimulate one another. Liberals had simply bowed to psychology as a superior authority. In contrast, integrationist evangelicals sought to interact with psychology in a sophisticated manner, hoping to weed out the tares of error form the wheat of truth. They sought to plunder psychological data and explanatory categories, utilizing a grid of general scriptural themes. The sought to profit from psychology's practices and institutional arrangements, under the guidance of general scriptural principles.

Developing and maintaining integrity require constant attention. John Weston, chairman and CEO of Automatic Data Processing, Inc., says, “I`ve always tried to live with the following simple rule: Don`t do what you wouldn`t feel comfortable reading about in the newspapers the next day.” That`s a good standard all of us should keep.

Confidentiality - seeks to prevent the unauthorized disclosure of information: it keeps data secret • Integrity - seeks to prevent unauthorized modification of information. In other words, integrity seeks to prevent unauthorized write access to data. Integrity also seeks to ensure data that is written in an authorized manner is complete and accurate. • Availability - ensures that information is available when needed • Subject - An active entity on an information system • Object - A passive data file • Annualized Loss Expectancy—the cost of loss due to a risk over a year • Threat—a potentially negative occurrence • Vulnerability—a weakness in a system • Risk—a matched threat and vulnerability • Safeguard—a measure taken to reduce risk • Total Cost of Ownership—the cost of a safeguard • Return on Investment—money saved by deploying a safeguard

The term developed out of a recognition that you have to integrate development and operations tasks to develop software efficiently. The kind of workflow you want to enable is one in which you can develop an app, deploy it, learn from production usage of it, change it in response to what you learn, and repeat the cycle quickly and reliably.

Part of the problem in the gay marriage debate is that emotions run high on both sides. Each side digs in its heels and refuses to budge in any way. Sometimes gays are vilified and misunderstood by traditionalists, but the reverse can be true as well. How do we handle this matter of defining (or changing the definition of) marriage in the public square? Are traditionalists discriminating against gays who believe they should have “equal rights under the law”? First, Christians should seek to understand, show grace, correct misperceptions, and build bridges wherever possible when interacting with those who disagree about this emotional issue. Both sides ought to be committed to truth-seeking, not playing power politics. The term homophobic is commonly misused today: “If you don’t accept homosexuality as legitimate, you’re homophobic.” Christians often are, but shouldn’t be, homophobic—afraid of homosexuals. It’s helpful to ask what people mean when they use this term. If they mean nonacceptance of homosexuality as a legitimate way of life rather than fear of homosexuals, then they are being inconsistent. In this case, they are being homophobic-phobic—not accepting the view of traditionalists as legitimate. Both sides should be committed to fairness and truth-seeking. Elizabeth Moberly explains: Neither side should make inflated claims or distort data. Both sides need to be frank about their own shortcomings. Truth-seeking also implies an essential concern not to misrepresent others, and not to withhold research grants or publication from persons who hold other views. Genuine and principled disagreement needs to be respected, not dismissed as homophobia or bigotry. This debate is not an easy one. But if we all seek to act with integrity—if we promote truth-seeking and show real respect for those with whom we disagree—then we may realistically hope for the future.1

Continuous integration (CI) means that whenever a developer checks in code to the source repository, a build is automatically triggered. Continuous delivery (CD) takes this one step further: after a build and automated unit tests are successful, you automatically deploy the application to an environment where you can do more in-depth testing.

According to the survey conducted by the Pew Research Center in 2012 (see the Introduction) Germany is today the only member of the EU in which most people, 59 per cent, think their country has been helped by European integration. Majorities or near majorities in most countries surveyed now believe that the economic integration of Europe has actually weakened their economies. This is the opinion in Greece (70 per cent), France (63 per cent), Britain (61 per cent), Italy (61 per cent), the Czech Republic (59 per cent), and Spain (50 per cent). The survey data also show that the crisis of the euro has triggered a full-blown crisis of public confidence: in the economy, in the future, in the benefits of European economic integration, in membership in the EU, in the euro and in the free-market system. Again, Europeans largely oppose further fiscal austerity to deal with the crisis; they are divided on bailing out indebted nations; and oppose Brussels’ oversight of national budgets. In short, the European project is a major casualty of the ongoing sovereign-debt crisis: we are witnessing the failure of the attempt to integrate Europe through a ‘positive’ law that has neither produced the promised benefits for the people, nor has it been enacted by the people itself.

The circuitry of a modern CPU is housed in a single integrated circuit or chip, millions of miniature circuits manufactured in a sliver of silicon. A processor's current instruction and data values are stored temporarily inside the CPU in special high-speed memory locations called registers. Some multiprocessor computers have multiple CPU chips or a multi-core processor (a single chip containing multiple CPUs). These computers are capable of faster speeds because they can process different sets of instructions at the same time.

The Twelve Behaviors 1.​Focus on customers and growth (serve customers well and aggressively pursue growth). 2.​Lead impactfully (think like a leader and serve as a role model). 3.​Get results (consistently meet any commitments that you make). 4.​Make people better (encourage excellence in peers, subordinates, and/or managers). 5.​Champion change (drive continuous improvement in our operations). 6.​Foster teamwork and diversity (define success in terms of the entire team). 7.​Adopt a global mind-set (view the business from all relevant perspectives, and see the world in terms of integrated value chains). 8.​Take risks intelligently (recognize that we must take greater but smarter risks to generate better returns). 9.​Be self-aware (recognize your behavior and how it affects those around you). 10.​Communicate effectively (provide information to others in a timely, concise, and thoughtful way). 11.​Think in an integrative fashion (make more holistic decisions beyond your own bailiwick by applying intuition, experience, and judgment to the available data). 12.​Develop technical or functional excellence (be capable and effective in your particular area of expertise).

For a well-defined, standard, and stable process involving hand-offs between people and systems, it is preferable to use a smart workflow platform. Such platforms offer pre-developed modules. These are ready-to-use automation programs customized by industry and by business function (e.g., onboarding of clients in retail banking). In addition, they are modular. For example, a module might include a form for client data collection, and another module might support an approval workflow. In addition, these modules can be linked to external systems and databases using connectors, such as application programming interfaces (APIs), which enable resilient data connectivity. Hence, with smart workflows, there is no need to develop bespoke internal and external data bridges. This integration creates a system with high resiliency and integrity. In addition, the standardization by industry and function of these platforms, combined with the low-code functionality, helps to accelerate the implementation.

Detec Australia can scan or monitor the different types of systems installed in Australia offering those same waterproofing contractors, builders & architects peace of mind. Detec's patented technologies assist in the quality control of waterproof membrane installations and in revealing water or moisture intrusion. Our monitoring systems will alert owners of a water intrusion and provide data regarding its severity and location. There is no longer any need to flood an area to test for the integrity of the waterproofing. Detec Australia, electronic leak detection, is finally here.

There are no ready-to-use modules with RPA. Most of the development is bespoke, and all process flows need to be built almost from scratch. The connections also need to be constructed. This results in a more flexible design and implementation of the programs developed, which can fit with more specific business requirements. The key advantage of RPA is that it allows the creation of automation programs that can involve legacy systems (e.g., those which can’t use APIs) or address non-standard requirements (e.g., onboarding of clients for a broker insurance company under Singapore regulations). However, with RPA, the lack of native integration amongst the components has weaknesses. For example, it involves less robustness, weaker data integrity, and lower resilience to process changes. If one part of an RPA program fails, the whole end-to-end process is stopped. As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.

Humility drives open-mindedness and keeps you hungry for knowledge, facts, and data—the very elements of reality.

We need our lives to mean something, and while the startling advance of technology has made finding that meaning more difficult, the ultimate innovation will be the day we can manufacture significance without strife or conflict, find importance without the necessity of death. And then, maybe one day, we will become integrated with the machines themselves. Our individual consciousnesses will be subsumed. Our independent hopes will vanish. We will meet and merge in the cloud, and our digitized souls will swirl and eddy in the storms of data, a splay of bits and functions harmoniously brought into some grand, unseen alignment.

Everyone around here thinks features are important, because they can see them in their app, on the web page, or in the API. But no one seems to realize how important the build process is. Developers cannot be productive without a great build, integration, and test process.

Without constant feedback from a centralized build, integration, and test system, they really have no idea what will happen when all their work is merged with everyone else’s.

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They start making a list: Every developer uses a common build environment. Every developer is supported by a continuous build and integration system. Everyone can run their code in production-like environments. Automated test suites are built to replace manual testing, liberating QA people to do higher value work. Architecture is decoupled to liberate feature teams, so developers can deliver value independently. All the data that teams need is put in easily consumed APIs

Metalitecy is an overarching comprehensive notion that provides an integrated and inclusive framework to cultivate critical thinking and proficiency in comprehending data, information, visuals and the media, particularly in technology-mediated settings through fortifying lifelong learning and attaining the objective of engendering critical engagement in individuals.

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The Spatial Web not only easily solves all these problems, but provides new insights and data to drive the fourth transformation of computing: connecting the digital and physical worlds into one integrated universe of objects and ideas. The impact of this new Spatial Web will dwarf that of the Internet and change how we live, work, and thrive.

The IoT market grows rapidly and it’s acceleration will continue in all major areas like Industrial Internet of Things; Digital Enterprise; Internet of Healthcare; Internet of Energy; Internet of Education; Digitalisation of global Supply Chains. Security concerns add to the IoT complexity. Strategically, to assure the system’s reliability & data / knowledge engineering, it is important to insure data integrity, availability, traceability, and privacy. A complex problem of digital transformation globally. The Internet of Things cybersecurity, therefore, is not a matter of device self-defence. What is needed is a systemic approach. Identify underlying patterns. Secure elements of a chain: from security of a device that creates, captures your data.. to the data storage.. to the back-end storage.. Create/ join IoT ecosystems, driven by protection with external monitoring, detection and reaction systems. It is a challenge - to secure systems.

Like most visionary utopias, though. IDN (Integrated Data Network) was never to be. Perhaps it was simply too ambitious a project: infrastructures seldom respond to a single vision or a master plan, as Paul Edwards (2010) writes, and conjuring up a platform that would serve the entire marketplace was an almost Quixotic task. Infrastructures emerge not through planning and calculated foresight, but through the meandering paths of history, in the mangle of making, tinkering, and wrestling with the obduracy of organizations, practices, and their installed base. The system eventually introduced for Big Bang reflected this fragility and contingency of infrastructures: it was the creative result of reshaping legacy devices into a system that did the job for the time being. A band-aid. A product of creative, recombinant bricolage.

These are some of the bigger issues the developer testing strategy needs to address, but there will be smaller ones too, which still need to be handled to avoid diverging implementations and misunderstandings. Here are some questions that may be helpful in reaching such an understanding: Which tests give bang for the buck and which don’t? What types of tests are we running and how do they overlap? What types of tests are we avoiding (and why)? How large should a test preferably be? (Size depends on the level of abstraction too.) How many layers is a single test allowed to touch? Do we optimize for speed of execution or test simplicity? How do we handle test data and its setup? How do we approach integrations with external systems? What testing frameworks and libraries do we use? What trade-offs are we willing to make in the spirit of working with legacy code?

a continuous integration server that is doing code builds and automated tests on Data Hub for every check-in,

the entertainment industries’ existing processes for capturing value from blockbusters start with a set of experts deciding which products are likely to succeed in the market. Once the experts have spoken, companies use their control of scarce promotion and distribution channels to push their products out to the mass market. In short, these processes rely on curation (the ability to select which products are brought to market) and control (over the scarce resources necessary to promote and distribute these products). Long-tail business models use a very different set of processes to capture value. These processes—on display at Amazon and Netflix—rely on selection (building an integrated platform that allows consumers to access a wide variety of content) and satisfaction (using data, recommendation engines, and peer reviews to help customers sift through the wide selection to discover exactly the sort of products they want to consume when they want to consume them). They replace human curators with a set of technology-enabled processes that let consumers decide which products make it to the front of the line. They can do this because shelf space and promotion capacity are no longer scarce resources. The resources that are scarce in this model, and the resources that companies have to compete for, are fundamentally different resources: consumers’ attention and knowledge of their preferences.

Five interconnecting rings for the “Faster, higher, stronger” of Cloud Computing System. The “Cloud Computing Rings” represent: Performance, Resilience, Data Sovereignty, Interoperability and Reversibility of a successfully integrated Cloud System.

Modern theories of knowledge emphasize the importance of accumulating and understanding data, facts, and concepts. The Greeks elevated knowledge to such a lofty position that they tended to see it as an end in itself. Although this view of knowledge is significantly absent from the Bible, it can be found in the Western world and most of the Christian church. Think of the emphasis in many churches on amassing biblical facts, on rote memory of Bible verses. Further, much of the church’s counseling and preaching puts primary emphasis on the intellect.

The trouble with traditional stoves is that they give off extremely toxic fumes. A woman cooking on a traditional stove in an unventilated room is exposed to the equivalent of more than a hundred cigarettes a day.33 According to a 2016 paper, in countries from Peru to Nigeria, toxic fumes from stoves are between twenty and a hundred times above World Health Organization guideline limits,34 and globally they cause three times more deaths (2.9 million)35 every year than malaria.36 This is all made worse by the inefficiency of traditional stoves: women who cook on them are exposed to these fumes for three to seven hours a day,37 meaning that, worldwide, indoor air pollution is the single largest environmental risk factor for female mortality and the leading killer of children under the age of five.38 Indoor air pollution is also the eighth-leading contributor to the overall global disease burden, causing respiratory and cardiovascular damage, as well as increased susceptibility to infectious illnesses such as tuberculosis and lung cancer.39 However, as is so often the case with health problems that mainly affect women, ‘these adverse health effects have not been studied in an integrated and scientifically rigorous manner’.40

And here is where we could see the emergence of new types of companies—“Auto-Tech.” These would either be vertically integrated or strategically allied companies, from vehicle manufacture, to fleet management, to ride hailing through their own platforms. They would be the master coordinators of multiple capabilities—manufacturing, data and supply chain management, machine learning, software and systems integration, and the delivery of high-quality “mobility as a service” to customers around the world. At this point, there is still no tipping point where the benefits of new technology and business models prove so overwhelming that they obliterate the oil-fueled personal car model that has reigned for so long.

You may be compliant, but are your customers going to trust the way you manage the data? To what extent do the employees working on the data ever feel they are compromising their own sense of integrity?

The architect is not just working with a set of drawings but with a data model that understands the whole building as a three-dimensional living system—its windows, air-conditioning, sunlight, lighting, elevators, and how they all interact,” explained Bass. The different teams working on the building can also interact and collaborate, as each change they make is dynamically integrated and optimized against the others. When

When flimsy cyber defense fails, Format Preserving Encryption prevails

Our understanding of the sociology of knowledge leads to the conclusion that the sociologies of language and religion cannot be considered peripheral specialties of little interest to sociological theory as such, but have essential contributions to make to it. This insight is not new. Durkheim and his school had it, but it was lost for a variety of theoretically irrelevant reasons. We hope we have made it clear that the sociology of knowledge presupposes a sociology of language, and that a sociology of knowledge without a sociology of religion is impossible (and vice versa). Furthermore, we believe that we have shown how the theoretical positions of Weber and Durkheim can be combined in a comprehensive theory of social action that does not lose the inner logic of either. Finally, we would contend that the linkage we have been led to make here between the sociology of knowledge and the theoretical core of the thought of Mead and his school suggests an interesting possibility for what might be called a sociological psychology, that is, a psychology that derives its fundamental perspectives from a sociological understanding of the human condition. The observations made here point to a program that seems to carry theoretical promise. More generally, we would contend that the analysis of the role of knowledge in the dialectic of individual and society, of personal identity and social structure, provides a crucial complementary perspective for all areas of sociology. This is certainly not to deny that purely structural analyses of social phenomena are fully adequate for wide areas of sociological inquiry, ranging from the study of small groups to that of large institutional complexes, such as the economy or politics. Nothing is further from our intentions than the suggestion that a sociology-of-knowledge “angle” ought somehow to be injected into all such analyses. In many cases this would be unnecessary for the cognitive goal at which these studies aim. We are suggesting, however, that the integration of the findings of such analyses into the body of sociological theory requires more than the casual obeisance that might be paid to the “human factor” behind the uncovered structural data. Such integration requires a systematic accounting of the dialectical relation between the structural realities and the human enterprise of constructing reality—in history. We

Companies should design the product and the marketing strategy to set and meet reasonable customer expectations—what he calls doing it right the first time. Part of this strategy is to identify possible areas of customer disappointment or areas where customers may perceive that they are not receiving full value from the product. Companies must then proactively reach out to customers to educate or even to warn them of product limitations. The best defense is a good offense. 2.   Customers must be encouraged to seek assistance when they have questions or problems—a silent, unhappy customer is a less profitable customer. Companies must provide effortless communication channels for customers seeking assistance. 3.   Companies need to create an empowered service system that allows employees to fully handle a problem, educate the customers on how to receive the most value from the product, and create inexpensive emotional connections. 4.   Companies must build a voice of the customer process that gathers information from across the entire customer lifecycle from multiple data sources and that integrates the process into a single, unified picture of the customer experience. To ensure impact and the secure resources needed to deliver a strong customer experience, the process must quantify the revenue and word-of-mouth impact of problems and opportunities. For

Innovative learners are primarily interested in personal meaning. They need to have reasons for learning—ideally reasons that connect new information with personal experience and establish that information’s usefulness in daily life. Some of the many learning methods effective with this type of learner are cooperative learning, brainstorming, and integration of content areas. Analytic learners are primarily interested in acquiring facts in order to deepen their understanding of concepts and processes. They are capable of learning effectively from lectures and enjoy independent research, analysis of data, and hearing what “the experts” have to say. Commonsense learners are primarily interested in how things work; they want to “get in and try it.” Concrete, experiential learning activities work best for them—using manipulatives, hands-on tasks, kinesthetic experience, and so on. Dynamic learners are primarily interested in self-directed discovery. They rely heavily on their own intuition and seek to teach both themselves and others. Any type of independent study is effective for these learners. They also enjoy simulations, role-play, and games.

Consequently, a wide variety of perspectives and frameworks have been developed for trying to understand what cities are, how they arose, how they function, and what their future is. Just within academia itself there is a dizzying array of separate departments, centers, and institutes representing a broad spectrum of alternative ways of perceiving cities: urban geography, urban economics, urban planning, urban studies, urbanomics, architectural studies, and many more, each with its own culture, paradigm, and agenda, though rarely interacting with one another. The situation is rapidly changing as new developments are being initiated, many stimulated by the advent of big data and the vision of smart cities, both somewhat naively touted as panaceas for solving all of our urban problems. But tellingly, there are as yet no explicit departments of “urban science” or “urban physics.” These represent a new frontier as the urgency to understand cities from a more scientific perspective emerges. This is the context of what I am presenting here, namely using scale as a powerful tool for opening a window onto the development of a quantitative conceptual integrated systemic framework for understanding cities.

One way of describing the direction in which our own culture is moving is that many of us are starting to adapt what we might call a digital form of life—one which takes life in the infosphere for granted, precisely because the digital is so seamlessly integrated into our lives. The Internet of Things is becoming the Internet of Us, and figuratively, if not yet literally, we are becoming digital humans.

It now seems clear that a capacity to learn would be an integral feature of the core design of a system intended to attain general intelligence, not something to be tacked on later as an extension or an afterthought. The same holds for the ability to deal effectively with uncertainty and probabilistic information. Some faculty for extracting useful concepts from sensory data and internal states, and for leveraging acquired concepts into flexible combinatorial representations for use in logical and intuitive reasoning, also likely belong among the core design features in a modern AI intended to attain general intelligence.

The meaningful design of experiences in physical space now regularly overlaps with the meaningful design of experiences in digital space.

Anti-Network Effects Hit the Google+ Launch A charismatic executive from one of the most powerful technology companies in the world introduces a new product at a conference. This time, it’s June 2011 at the Web 2.0 Summit, where Google vice president Vic Gundotra describes the future of social networking and launches Google+. This was Google’s ambitious strategy to counteract Facebook, which was nearing their IPO. To give their new networked product a leg up, as many companies do, it led with aggressive upsells from their core product. The Google.com homepage linked to Google+, and they also integrated it widely within YouTube, Photos, and the rest of the product ecosystem. This generated huge initial numbers—within months, the company announced it had signed up more than 90 million users. While this might superficially look like a large user base, it actually consisted of many weak networks that weren’t engaged, because most new users showed up and tried out the product as they read about it in the press, rather than hearing from their friends. The high churn in the product was covered up by the incredible fire hose of traffic that the rest of Google’s network generated. Even though it wasn’t working, the numbers kept going up. When unengaged users interact with a networked product that hasn’t yet gelled into a stable, atomic network, then they don’t end up pulling other users into the product. In a Wall Street Journal article by Amir Efrati, Google+ was described as a ghost town even while the executives touted large top-line numbers: To hear Google Inc. Chief Executive Larry Page tell it, Google+ has become a robust competitor in the social networking space, with 90 million users registering since its June launch. But those numbers mask what’s really going on at Google+. It turns out Google+ is a virtual ghost town compared with the site of rival Facebook Inc., which is preparing for a massive initial public offering. New data from research firm comScore Inc. shows that Google+ users are signing up—but then not doing much there. Visitors using personal computers spent an average of about three minutes a month on Google+ between September and January, versus six to seven hours on Facebook each month over the same period, according to comScore, which didn’t have data on mobile usage.86 The fate of Google+ was sealed in their go-to-market strategy. By launching big rather than focusing on small, atomic networks that could grow on their own, the teams fell victim to big vanity metrics. At its peak, Google+ claimed to have 300 million active users—by the top-line metrics, it was on its way to success. But network effects rely on the quality of the growth and not just its quantity

Over the years, Facebook has executed an effective playbook that does exactly this, at scale. Take Instagram as an example—in the early days, the core product tapped into Facebook’s network by making it easy to share photos from one product to the other. This creates a viral loop that drives new users, but engagement, too, when likes and comments appear on both services. Being able to sign up to Instagram using your Facebook account also increases conversion rate, which creates a frictionless experience while simultaneously setting up integrations later in the experience. A direct approach to tying together the networks relies on using the very established social graph of Facebook to create more engagement. Bangaly Kaba, formerly head of growth at Instagram, describes how Instagram built off the network of its larger parent: Tapping into Facebook’s social graph became very powerful when we realized that following your real friends and having an audience of real friends was the most important factor for long-term retention. Facebook has a very rich social graph with not only address books but also years of friend interaction data. Using that info supercharged our ability to recommend the most relevant, real-life friends within the Instagram app in a way we couldn’t before, which boosted retention in a big way. The previous theory had been that getting users to follow celebrities and influencers was the most impactful action, but this was much better—the influencers rarely followed back and engaged with a new user’s content. Your friends would do that, bringing you back to the app, and we wouldn’t have been able to create this feature without Facebook’s network. Rather than using Facebook only as a source of new users, Instagram was able to use its larger parent to build stronger, denser networks. This is the foundation for stronger network effects. Instagram is a great example of bundling done well, and why a networked product that launches another networked product is at a huge advantage. The goal is to compete not just on features or product, but to always be the “big guy” in a competitive situation—to bring your bigger network as a competitive weapon, which in turn unlocks benefits for acquisition, engagement, and monetization. Going back to Microsoft, part of their competitive magic came when they could bring their entire ecosystem—developers, customers, PC makers, and others—to compete at multiple levels, not just on building more features. And the most important part of this ecosystem was the developers.

The talent required within the CoE is wide and ranges from business and operations excellence to risk and IT departments. According to McKinsey’s survey, the CoE of top-performing companies includes a large variety of profiles such as delivery managers, data scientists, data engineers, workflow integrators, system architects, developers, and, most critically, translators and business analysts.152 A

CEOs and boards need to ensure that they fully understand how business operations can be disrupted by a loss of data confidentiality, access, or integrity, as well as disruptions to operational technology like industrial control systems. And they need to have plans in place to mitigate those disruptions. We’ve traditionally focused almost entirely on preventing cyber incidents and not nearly enough on planning for how to best operate in the face of a successful cyber incident.

Sound money is the equivalent of scientific integrity: the system must not permit the manipulation of data after the experiment has taken place.

Odoo Microsoft Office 365 Integration Odoo is an Enterprise Resource Planning(ERP) system which includes CRM, Inventory, Warehouse etc. Microsoft is well known software company who develeops computer Operating System and other related services. One of its best product is Microsoft Office365. Odoo integration with Microsoft Office365 makes it easy to sync the data in Apps i.e Contacts, Outlook, Calendar, OneDrive, Tasks both ways.

Eventually Bezos hopes to integrate the Amazon online store, Amazon Prime, Echo, and Amazon’s customer data analytics with the Whole Foods Market grocery chain, which Amazon bought in 2017. Bezos says that his purchase of the company was partly due to his admiration for the outlook of its founder, John Mackey. When he meets with the founder or chief executive of a company that Amazon is thinking of buying, Bezos tries to assess whether he or she is in it merely to make money or because of a true passion for serving customers. “I’m always trying to figure out one thing first and foremost: Is that person a missionary or a mercenary?” Bezos says. “The mercenaries are trying to flip their stock. The missionaries love their product or their service and love their customers and are trying to build a great service. By the way, the great paradox here is that it’s usually the missionaries who make more money.” Mackey struck him as a missionary, and his passion infused the Whole Foods ethos. “It’s a missionary company, and he’s a missionary guy.

The emotional landscape of leadership is untapped and underdeveloped. Typically, leadership energy focuses on the efficiency of managerial operations. There is ample training on becoming productive but very little on integrating our emotional data toward competency within the landscape of commerce.

Both science and spirituality are integral to the process of Life. Science helps you to question, seek answers, explore the unknown, examine data and find reason; it enhances knowledge. Spirituality helps you to question, seek answers, explore the unknown, embrace experiences and awaken; it removes ignorance. Both are complementary aha-inducing ways of bringing meaning to an otherwise, apparently, meaningless Life – because you came with nothing and you will go away with nothing!